diff --git a/src/tim/vx/ops/arg_test.cc b/src/tim/vx/ops/arg_test.cc
new file mode 100644
index 0000000..c3a4555
--- /dev/null
+++ b/src/tim/vx/ops/arg_test.cc
@@ -0,0 +1,160 @@
+/****************************************************************************
+*
+*    Copyright (c) 2021 Vivante Corporation
+*
+*    Permission is hereby granted, free of charge, to any person obtaining a
+*    copy of this software and associated documentation files (the "Software"),
+*    to deal in the Software without restriction, including without limitation
+*    the rights to use, copy, modify, merge, publish, distribute, sublicense,
+*    and/or sell copies of the Software, and to permit persons to whom the
+*    Software is furnished to do so, subject to the following conditions:
+*
+*    The above copyright notice and this permission notice shall be included in
+*    all copies or substantial portions of the Software.
+*
+*    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+*    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+*    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+*    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+*    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+*    FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
+*    DEALINGS IN THE SOFTWARE.
+*
+*****************************************************************************/
+#include "tim/vx/context.h"
+#include "tim/vx/graph.h"
+#include "tim/vx/ops/arg.h"
+#include "test_utils.h"
+#include "gtest/gtest.h"
+
+TEST(ArgMax, shape_2_2_axis_0) {
+  auto ctx = tim::vx::Context::Create();
+  auto graph = ctx->CreateGraph();
+
+  tim::vx::ShapeType in_shape({2, 2});
+  tim::vx::ShapeType out_shape({2});
+
+  tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
+                              tim::vx::TensorAttribute::INPUT);
+
+  tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
+                               tim::vx::TensorAttribute::OUTPUT);
+
+  auto in_tensor = graph->CreateTensor(in_spec);
+  auto out_tensor = graph->CreateTensor(out_spec);
+
+  std::vector<float> in_data = {2, 1, 3, 10};
+  std::vector<int32_t> golden = {0, 1};
+
+  EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
+                                          in_data.size() * sizeof(float)));
+
+  auto op = graph->CreateOperation<tim::vx::ops::ArgMax>(0);
+  (*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
+
+  EXPECT_TRUE(graph->Compile());
+  EXPECT_TRUE(graph->Run());
+
+  std::vector<int32_t> output(golden.size());
+  EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
+  EXPECT_EQ(golden, output);
+}
+
+TEST(ArgMax, shape_2_2_axis_1) {
+  auto ctx = tim::vx::Context::Create();
+  auto graph = ctx->CreateGraph();
+
+  tim::vx::ShapeType in_shape({2, 2});
+  tim::vx::ShapeType out_shape({2});
+
+  tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
+                              tim::vx::TensorAttribute::INPUT);
+
+  tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
+                               tim::vx::TensorAttribute::OUTPUT);
+
+  auto in_tensor = graph->CreateTensor(in_spec);
+  auto out_tensor = graph->CreateTensor(out_spec);
+
+  std::vector<float> in_data = {2, 1, 3, 10};
+  std::vector<int32_t> golden = {1, 1};
+
+  EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
+                                          in_data.size() * sizeof(float)));
+
+  auto op = graph->CreateOperation<tim::vx::ops::ArgMax>(1);
+  (*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
+
+  EXPECT_TRUE(graph->Compile());
+  EXPECT_TRUE(graph->Run());
+
+  std::vector<int32_t> output(golden.size());
+  EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
+  EXPECT_EQ(golden, output);
+}
+
+TEST(ArgMin, shape_2_2_axis_0) {
+  auto ctx = tim::vx::Context::Create();
+  auto graph = ctx->CreateGraph();
+
+  tim::vx::ShapeType in_shape({2, 2});
+  tim::vx::ShapeType out_shape({2});
+
+  tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
+                              tim::vx::TensorAttribute::INPUT);
+
+  tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
+                               tim::vx::TensorAttribute::OUTPUT);
+
+  auto in_tensor = graph->CreateTensor(in_spec);
+  auto out_tensor = graph->CreateTensor(out_spec);
+
+  std::vector<float> in_data = {2, 1, 3, 10};
+  std::vector<int32_t> golden = {1, 0};
+
+  EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
+                                          in_data.size() * sizeof(float)));
+
+  auto op = graph->CreateOperation<tim::vx::ops::ArgMin>(0);
+  (*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
+
+  EXPECT_TRUE(graph->Compile());
+  EXPECT_TRUE(graph->Run());
+
+  std::vector<int32_t> output(golden.size());
+  EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
+  EXPECT_EQ(golden, output);
+}
+
+TEST(ArgMin, shape_2_2_axis_1) {
+  auto ctx = tim::vx::Context::Create();
+  auto graph = ctx->CreateGraph();
+
+  tim::vx::ShapeType in_shape({2, 2});
+  tim::vx::ShapeType out_shape({2});
+
+  tim::vx::TensorSpec in_spec(tim::vx::DataType::FLOAT32, in_shape,
+                              tim::vx::TensorAttribute::INPUT);
+
+  tim::vx::TensorSpec out_spec(tim::vx::DataType::INT32, out_shape,
+                               tim::vx::TensorAttribute::OUTPUT);
+
+  auto in_tensor = graph->CreateTensor(in_spec);
+  auto out_tensor = graph->CreateTensor(out_spec);
+
+  std::vector<float> in_data = {2, 1, 3, 10};
+  std::vector<int32_t> golden = {0, 0};
+
+  EXPECT_TRUE(in_tensor->CopyDataToTensor(in_data.data(),
+                                          in_data.size() * sizeof(float)));
+
+  auto op = graph->CreateOperation<tim::vx::ops::ArgMin>(1);
+  (*op).BindInputs({in_tensor}).BindOutputs({out_tensor});
+
+  EXPECT_TRUE(graph->Compile());
+  EXPECT_TRUE(graph->Run());
+
+  std::vector<int32_t> output(golden.size());
+  EXPECT_TRUE(out_tensor->CopyDataFromTensor(output.data()));
+  EXPECT_EQ(golden, output);
+}
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